STATISTICS SHORT COURSES FROM 11TH MARCH UP TO 13TH MARCH 2020 TO BE HELD AT THE INSTITUTE OF RURAL DEVELOPMENT PLANNING(IRDP), MWANZA BRANCH

SUALISA IN THE LAKE ZONE

Sokoine University of Agriculture Laboratory for Interdisciplinary Statistical Analysis (SUALISA) would like to announce to the SUA community, Mwanza community and to the general public that it will offer short courses in statistics between 11th March up to 13th March 2020 at the Institute of Rural Deelopment Planning (IRDP) in Mwanza, Tanzania. The course will be held at the main campus (LZC).

You are all welcomed. 
For further details contact Mr. Mnyawi (0767047613) also Ms.Maria Celestine (0713301033)

Abstract

A scientific research can only be achieved if there is a scientific way of data collection and data analysis. Proper application of statistics principles is an answer for achieving a scientific research. Even though statistics as a course is taugnt in colleges and in universities, most universities’ supervisors have a limited knowledge in statistics. This scenario  compel the Msc and PhD students to confine themselves  into disciplines which  supervisors have an adequate  statistical knowedge.  SUALISA brings a golden opportunity to MSc and PhD students and to researchers in general. Working with SUALISA does not only provide an opportunity for a researcher to venture into different discplines but also could lead to earlier graduation/earlier completion of research work, producing quality research work, saving cost and simplifying works to both students and supervisors. SUALISA does not work against the supervisors rather in harmony with both supervisors and students. Students, instructors  supervisors at IRDP,and in other colleges around Mwanza region you are warmly welcomed.
 

Tentative Training schedule

                             Time

Day 1

Day2

Day 3

8.00-10.00

Introduction to Statistics

Introduction to STATA

 

Introduction to Multiple Linear Regression using SPPS & STATA

8.00-10.00

Introduction to survey design

Introduction R

Introduction to Multiple Linear Regression using SPPS & STATA

10.00-10.30

Tea break

Tea break

 

10.30-11.30

Introduction to Electronic tools for Data collection

Introduction R

Introduction to time series using SPSS

 

 

 

 

11.30-12.30

Introduction to Electronic tools for Data collection

Introduction R

Introduction to time series using SPSS

12.30-13.30

Lunch break

 

 

13.30-14.30

Introduction to Electronic tools for Data collection

Introduction R

Introduction to time series using STATA

14.30-15.30

Introduction to Electronic tools for Data collection

Introduction to t-tests, ANOVA and rank based test using SPSS

Introduction to time series using STATA

15.30-16.30

Introductions to  SPSS

Introduction to t-tests, ANOVA and rank based test using STATA

Introduction to time series using STATA

16.30-17.00

Tea break and departing

tea break and departing

tea break and departing

 

 

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